Browsing Researchers by Subject "Iris detection"

Now showing items 1-6 of 6

    • Automated face localization and facial features detection using geometric information 

      Chai, Tong Yuen; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Karthigayan, M.; Sugisaka, M.; Hazry, Desa, Dr.; Ibrahim, Z. (Malaysia-Japan University Center (MJUC), 2007-11-12)
      This paper presents algorithms to detect irises of both eyes and mouth from color and intensity images and extracts intensity valleys from the race region. Next, the algorithm extracts iris candidates from the valleys and ...

    • Automatic detection of face and facial features 

      Chai, Tong Yuen; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Woo, San San; Sugisaka, M. (World Scientific and Engineering Academy and Society (WSEAS), 2008-02-20)
      An algorithm to automatically detect facial features from color images has been developed. First, face region is located using skin-color information. Then, the iris candidates are extracted from the intensity valleys ...

    • Biometric Identification: Face Recognition based on Iris Detection 

      Mohd Rizon, Mohd Juhari, Prof. Madya Dr.; R. Badlishah, Ahmad, Prof. Madya Dr.; Ahmad Nasir, Che Rosli (International Exhibition of Inventions, 2006-04-05)
      A new face recognition system using iris detection. Can be applied to a face image in which the position, scale and image- plan rotation are unknown.

    • Facial features for template matching based face recognition 

      Chai, Tong Yuen; Mohd Rizon, Mohamed Juhari, Prof. Dr.; Woo, San San; Tan, Ching Seong, Dr. (Science Publications, 2009)
      Problem statement: Template matching had been a conventional method for object detection especially facial features detection at the early stage of face recognition research. The appearance of moustache and beard had ...

    • Real-time detection of face and iris 

      Chai, Tong Yuen; Mohamed Rizon, Mohamed Juhari, Prof. Dr.; Muhammad Shazri (World Scientific and Engineering Academy and Society (WSEAS), 2009-06)
      In this study, a computational algorithm has been developed to automatically detect human face and irises from color images captured by real-time camera. Haar cascade-based algorithm has been applied for simple and fast ...

    • Recognition of human front face in Grayscale Images 

      Mohamed Rizon, Mohamed Juhari; Phaklen Ehkan; Ahmad Nasir, Che Rosli (Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-18)
      We propose a new technique to recognize the unknown person in grayscale face images for which the position, scale and image-plane rotation of the face are unknown. The proposed system detects the iris of both eyes and ...